The perceptron algorithm, developed mainly in the machine learning literature, is a simple greedy method for finding a feasible solution to a linear program (alternatively, for le...
We present a technique to prove termination of multipath polynomial programs, an expressive class of loops that enables practical traction and analysis. The technique is based on ï...
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
We address the problem of applying resource-bounded functional programming languages in practice on object-oriented virtual machines which include calls to native methods coded in...
The ability to summarize procedures is fundamental to building scalable interprocedural analyses. For sequential programs, procedure summarization is well-understood and used rout...